At a Glance
- Tasks: Lead innovative AI projects and architect cutting-edge solutions across multiple regions.
- Company: Join a forward-thinking tech company committed to diversity and inclusion.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Other info: Dynamic role with global impact and excellent career advancement opportunities.
- Why this job: Shape the future of AI technology and mentor high-performing teams.
- Qualifications: 15+ years in software engineering with a focus on AI solutions.
The predicted salary is between 80000 - 100000 £ per year.
Location: London
Compensation: Competitive (including bonus)
Responsibilities
- Serve as principal engineering lead for complex, multi‑region AI programs; define solution strategy, roadmap, and measurable outcomes.
- Lead workshops and discoveries focused on AI‑enabled engineering (LLMs, agents, RAG, prompt ops, model ops).
- Architect AI integrations across APIs, pipelines, cloud services, and enterprise toolchains; enforce reliability, safety, and cost discipline.
- Operationalize agentic engineering (task decomposition, tools, memory, planning) for accelerated delivery.
- Build and mentor high‑performing teams; cultivate experimentation, reusable assets/accelerators, and continuous learning.
- Govern delivery (scope, risk, quality), communicate crisply with executives and technical stakeholders, and course‑correct proactively.
Required Technology
- 15+ years of progressive software engineering; 5+ years leading AI‑native solutions at enterprise scale.
- Hands‑on with LLMs and agentic frameworks; design and deploy AI systems that augment SDLC (requirements → coding → testing → ops).
Tooling & Platforms (practitioner proficiency)
- Claude Code (Anthropic) for secure, context‑rich code assistance; use with projects, tool use, code planning.
- Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‑calling.
- Azure OpenAI / GPT‑4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety.
- Amazon Q for developer and ops assistance across AWS stacks.
- Cursor, GitHub Copilot, Devin for IDE‑native agentic coding; policies for context windows, secrets hygiene, and traceability.
- NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion.
Architecture & Integration
- Distributed systems, microservices, cloud‑native (Azure/AWS/GCP); secure API design (REST/GraphQL).
- MLOps & AIOps: CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt safety.
- DevSec & Responsible AI: Privacy‑by‑design, PII handling, secrets management, policy enforcement, human‑in‑the‑loop approvals, auditability.
- Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s).
Leadership & Communication
- Executive presence: influence C‑suite decisions with crisp, data‑backed narratives.
- Lead distributed teams across geographies/time zones; resolve conflicts and drive outcomes.
- Pre‑sales/solutioning for AI transformation; quantify value (cycle time, defect rate, throughput, cost‑to‑serve).
Preferred
- Delivery leadership for Fortune 500 AI programs; published thought leadership or patents.
- Proven track in building accelerators (prompt libraries, agent frameworks, governance kits), and running bake‑offs/benchmarks across LLMs.
- Experience establishing enterprise AI enablement: policy, templates, blueprints, playbooks, COPs.
Personal
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
Equal Opportunity Employment
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
Principal Technology Architect - LLMs, agentic coding systems, intelligent IDEs, AI in London employer: Infosys Limited
At Infosys, we pride ourselves on being an exceptional employer, particularly for the role of Principal Technology Architect in London. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development in cutting-edge AI technologies. With competitive compensation, a commitment to diversity, and a focus on continuous learning, we empower our teams to lead transformative projects that shape the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Technology Architect - LLMs, agentic coding systems, intelligent IDEs, AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Infosys Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Infosys Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Infosys Limited.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Principal Technology Architect - LLMs, agentic coding systems, intelligent IDEs, AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Infosys Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Infosys Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Infosys Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Infosys Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
